The construction, reliability, and evidence of validity of a scale to measure new technologies by Spanish psychologist

Referències bibliogràfiques

• Ak, S., Koruklu, N., & Yilmaz, Y. (2013). A study on Turkish adolescent ́s internet use: possible predictors of internet addiction. Cyberpsychology, Behavior, and Social Networking, 16, 205-209.
• American Psychological Association (APA) (2013). Guidelines for the prac-tice of telepsychology. American Psychologist, 68(9), 791–800. https://doi.org/10.1037/a0035001
• Andersson, G., Carlbring, P., & Lindefors, N. (2016). History and Current Status of ICBT. Guided Internet-Based Treatments in Psychiatry, 1–16. https://doi.org/10.1007/978-3-319-06083-5_1
• Banbury, A., Nancarrow, S., Dart, J., Gray, L., & Parkinson, L. (2018). Tele-health Interventions Delivering Home-based Support Group Vide-oconferencing: Systematic Review. Journal of MedicalInternet Research, 20(2),e25. https://doi.org/10.2196/jmir.8090
• Bandalos, D. L., & Finney, S. J. (2018). Factor Analysis. The Reviewer’s Guide to Quantitative Methods in the Social Sciences, 98–122. https://doi.org/10.4324/9781315755649-8
• Barak, A. (2007). Emotional support and suicide prevention through the In-ternet: A field project report. Computers in Human Behavior, 23(2), 971–984. https://doi.org/10.1016/j.chb.2005.08.001
• Barak, A., Hen, L., Boniel-Nissim, M., & Shapira, N. (2008). A Comprehen-sive Review and a Meta-Analysis of the Effectiveness of Internet-Based Psychotherapeutic Interventions. Journal of Technology in Human Services, 26(2-4), 109–160. https://doi.org/10.1080/15228830802094429
• Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Psychology, 3, 77-85.
• Beidel, D. C., Frueh, B. C., Neer, S. M., & Lejuez, C. W. (2017). The effica-cy of Trauma Management Therapy: A controlled pilot investigation of a three-week intensive outpatient program for combat-related PTSD. Journal of Anxiety Disorders, 50, 23–32. https://doi.org/10.1016/j.janxdis.2017.05.001
• Bentler, P. M. (1977). Factor simplicity index and transformations. Psychome-trika, 59, 567-579. https://doi.org/10.1007/bf02294054
• Botella, C., Fernández-Álvarez, J., Guillén, V., García-Palacios, A., & Baños, R. (2017).Avances recientes en la terapia de exposición a la realidad virtual para las fobias: una revisión sistemática.CurrentPsychiatry Re-ports.19:42.https://doi.org/10.1007/s11920-017-0788-4
• Bouchard, S., Dumoulin, S., Robillard, G., Guitard, T., Klinger, É., Forget, H., Loranger, C., & Roucaut, F. X. (2017). Virtual reality compared with in vivo exposure in the treatment of social anxiety disorder: A three-arm randomized controlled trial. British Journal of Psychiatry, 210(4), 276–283. https://doi.org/10.1192/bjp.bp.116.184234
• Brown, S. A. (2005). Measuring perceived benefits and perceived barriers for physical activity. American Journal of HealthBehavior, 29(2), 107–116. https://doi.org/10.5993/AJHB.29.2.2
• Byrne, B. M. (2012). Structural equation modeling with Mplus: Basic concepts, appli-cations, and programming.Routledge.Calvo, M. E. (2019). Científicas e inventoras a través de los cuentos. IQUAL,2, 147-170. https://doi.org/10.6018/iqual.340701
• Chen, F. (2007). Sensitivity of Goodness of Fit Indexes to Lack of Meas-urement Invariance. Structural Equation Modeling, 14, 464-504. https://doi.org/10.1080/10705510701301834.
• Cohen, J. (1988). Statistical Power Analysis for the Behavioural Science (2nd Edi-tion). In Statistical Power Anaylsis for the Behavioral Sciences. Laurence Erl-baum Associates.
• Dueber, D. M. (2017). Bifactor Indices Calculator: A Microsoft Excel-based tool to calculate various indices relevant to bifactor CFA models. https://doi.org/10.13023/edp.tool.01[Also available at http://sites.education.uky.edu/apslab/resources/]
• Dunn, T. J., Baguley, T., & Brunsden, V. (2013). From alpha to omega: A practical solution to the pervasive problem of internal consistency es-timation. British Journal of Psychology, 105(3), 295-441. https://doi.org/10.1111/bjop.12046
• Encinas, F. J. L., & González, S. M. V. (2010). Menores y nuevas tecnolo-gías: conductas indicadoras de posible problema de adicción. Psicothema, 22(2), 180-188
• Espinoza, M., Baños, R. M., García-Palacios, A., & Botella, C. (2013). La realidad virtual en las intervenciones psicológicas con pacientes oncoló-gicos. Psicooncología, 10(2-3). https://doi.org/10.5209/rev_psic.2013.v10.n2-3.43447
• Fernández, C. S., & Alcalde, J. B. F. (2015). No, sin mi móvil. Diferencias de género y uso de las nuevas tecnologías. ICONO 14, Revista de comuni-cación y tecnologías emergentes, 13(1), 208-246.
• Fernández-Luque, L., & Bau, T. (2015). Health and Social Media: Perfect Storm of Information. Healthcare Informatics Research, 21(2), 67. https://doi.org/10.4258/hir.2015.21.2.67
• Ferrando, P. J. & Lorenzo-Seva, U. (2014). El análisis factorial exploratoriode los ítems: algunas consideraciones adicionales. Anales de Psicología, 30(3), 1170-1175. https://doi.org/10.6018/analesps.30.3.199991
• Ferrando, P. J. & Lorenzo-Seva, U. (2017). Program FACTORat 10: Ori-gins, development and future directions. Psicothema, 29(2), 236-240. https://doi.org/10.7334/psicothema2016.304
• Finch, W. H. (2020). Using Fit Statistic Differences to Determine the Opti-mal Number of Factors to Retain in an Exploratory Factor Analysis. Educational and Psychological Measurement, 80(2), 217–241. https://doi.org/10.1177/0013164419865769
• Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
• Gackenbach, J. (2007). Introduction. Psychology and the Internet, 1–10. https://doi.org/10.1016/b978-012369425-6/50019-9
• Gartner Symposium ITxpo (2013).https://www.gartner.com/en
• Gassova, Z., & Werner-Wilson, R. J. (2018). Characteristics of e-therapy websites involving marriage and family therapists. American Journal of Family Therapy, 46(1), 27–43. https://doi.org/10.1080/01926187.2018.1428127
• Godoe, P., & Johansen, T. S. (2012). Understanding adoption of new tech-nologies: Technology readiness and technology acceptance as an inte-grated concept. PsycEXTRA Dataset. https://doi.org/10.1037/e537242013-005
• Gorsuch, R. L. (2003). Factor analysis. In J. A. Schinka & W. F. Velicer (Eds.), Handbook of psychology: Research methods in psychology, Vol. 2(pp. 143–164). John Wiley & Sons Inc.
• Green, D. (2006). Ground rules in online psychotherapy(Doctoral dissertation). University London.
• Hancock, G. R., & Mueller, R. O. (2001). Rethinking Construct Reliability within Latent Variable Systems. In R. Cudeck, S. du Toit, & D. S?rbom (Eds.), Structural Equation Modeling: Present und Future—A Festschrift in Honor of Karl Joreskog(pp. 195-216). Scientific Software International.
• Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation mod-elling: Guidelines for determining model fit. Electronic journal of business research methods, 6(1), 53-60. https://doi.org/10.21427/d7cf7r
• Howard, M. C. (2015). A Review of Exploratory Factor Analysis Decisions and Overview of Current Practices: What We Are Doing and How Can We Improve? International Journal of Human-Computer Interaction, 32(1), 51–62. https://doi.org/10.1080/10447318.2015.1087664
• IBM Corp. (2017). IBM SPSS Statistics for Windows. IBM Corp
• Instituto Nacional de Estadística (INE) (2019).Encuesta sobre equipamiento y uso de tecnologías de información y comunicación en los hogares. Condiciones de vida. Nivel y condiciones de vida (IPC).INE. URL: https://www.ine.es/dyngs/INEbase/es/operacion.htm?c=Estadistica_C&cid=1254736176741&menu=ultiDatos&idp=1254735976608
• Kaiser, H. F. (1970). A second generation little jiffy. Psychometrika, 35(4), 401-415.
• Kazdin, A. E. (2015). Technology-based interventions and reducing the burdens of mental illness: perspectives and comments on the special se-ries. Cognitive and Behavioral Practice, 22(3), 359-366. https://doi.org/10.1016/j.cbpra.2015.04.004
• King, R., Bambling, M., Reid, W., & Thomas, I. (2006). Telephone and online counselling for young people: A naturalistic comparisonof ses-sion outcome, session impact and therapeutic alliance. Counselling and Psychotherapy Research, 6(3), 175–181. https://doi.org/10.1080/14733140600874084
• Kramer, G. M., & Luxton, D. D. (2016). TelementalHealth for Children and Adolescents: An Overview of Legal, Regulatory, and Risk Man-agement Issues. Journal of Child and Adolescent Psychopharmacology, 26(3), 198–203. https://doi.org/10.1089/cap.2015.0018
• Kysely, A., Bishop, B., Kane, R., Cheng, M., De Palma, M., & Rooney, R. (2020). Expectations and Experiences of Couples Receiving Therapy Through Videoconferencing: A Qualitative Study. Frontiers in Psychology,10. https://doi.org/10.3389/fpsyg.2019.02992
• Lai, M. H., Maniam, T., Chan, L. F., & Ravindran,A. V. (2014). Caught in the Web: A Review of Web-Based Suicide Prevention. Journal of Medical Internet Research, 16(1), e30. https://doi.org/10.2196/jmir.2973
• Lavorgna, L., Russo, A., De Stefano, M., Lanzillo, R., Esposito, S., Moshta-ri, F., Rullani, F., Piscopo, K., Buonanno, D., Brescia Morra, V., Gallo, A., Tedeschi, G., & Bonavita, S. (2017). Health-Related Coping and So-cial Interaction in People with Multiple Sclerosis Supported by a Social Network: Pilot Study With a New Methodological Approach. Interac-tive Journal of Medical Research, 6(2), e10. https://doi.org/10.2196/ijmr.7402
• Lenhard, W. & Lenhard, A. (2016). Calculation of Effect Sizes. Retrieved from: https://www.psychometrica.de/effect_size.html. Dettelbach (Germany): Psychometrica. https://doi.org/10.13140/RG.2.2.17823.92329
• Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 381–5.
• Lorenzo-Seva, U. (2003). A factor simplicity index. Psychometrika, 68, 49-60. https://doi.org/10.1007/bf02296652
• Lorenzo-Seva, U., & Ferrando, P. J. (2006). FACTOR: A computer pro-gram to fi t the exploratory factor analysis model. Behavior Research Meth-ods, 38(1), 88-91.
• Lorenzo-Seva, U., & Ferrando, P. J. (2019). Robust Promin: A method for diagonally weighted factor rotation. Liberabit: Revista Peruana de Psicolo-gía, 25(1), 99–106. https://doi.org/10.24265/liberabit.2019.v25n1.0
• Mallen, M. J., Day, S. X., & Green, M. A. (2003). Online versus face-to-face conversation: An examination of relational and discourse variables. Psychotherapy: Theory, Research, Practice, Training, 40(1-2), 155–163. https://doi.org/10.1037/0033-3204.40.1-2.155
• Mallen, M. J., Vogel, D. L., & Rochlen, A. B. (2005). The Practical Aspects of Online Counseling. The Counseling Psychologist, 33(6), 776–818. https://doi.org/10.1177/0011000005278625
• Mardia, K. V. (1970). Measures of Multivariate Skewness and Kurtosis with Applications. Biometrika, 57, 519-530. https://doi.org/10.1093/biomet/57.3.519
• McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum Associates.
• Muthén, L. K., & Muthén, B. O. (2017). Mplus User's Guide. Sixth Edition. Muthén & Muthén. Statmodel. https://www.statmodel.com/download/usersguide/MplusUserGuideVer_8.pdf
• Osborne, J. W., Costello, A. B., & Kellow, J. T. (2014). Best practices in ex-ploratory factor analysis (pp. 86-99). Louisville, KY: CreateSpace Inde-pendent Publishing Platform. https://doi.org/10.4135/9781412995627.d8
• Palos-Sanchez, P., Reyes-Menendez, A., & Saura, J. R. (2019). Modelos de Adopción de Tecnologías de la Información y Cloud Computing en las Organizaciones. Información Tecnológica, 30(3), 3–12. https://doi.org/10.4067/s0718-07642019000300003
• Perle, J. G., Langsam, L. C., & Nierenberg, B. (2011). Controversy clarified: An updated review of clinical psychology and tele-health. Clinical Psy-chology Review, 31(8), 1247–1258. https://doi.org/10.1016/j.cpr.2011.08.003
• Peter, L., Reindl, R., Zauter, S., Hillemacher, T., & Richter, K. (2019). Ef-fectiveness of an Online CBT-I Intervention and a Face-to-Face Treatment for Shift Work Sleep Disorder: A Comparison of Sleep Dia-ry Data. InternationalJournal of Environmental Research and Public Health, 16(17), 3081. https://doi.org/10.3390/ijerph16173081
• Pujadas, M. M., & Machín, A. L. (2006). El correo electrónico en la relación médico-paciente: uso y recomendaciones generales. Atención primaria, 37(7), 413-417.
• Putnick, D. L., & Bornstein, M. H. (2016). Measurement Invariance Con-ventions and Reporting: The State of the Art and Future Directions for Psychological Research. Developmental review, 41, 71–90. https://doi.org/10.1016/j.dr.2016.06.004
• Rhemtulla, M., Brosseau-Liard, P. É.,& Savalei, V. (2012). When can cate-gorical variables be treated as continuous? A comparison of robust con-tinuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17(3), 354–373. https://doi.org/10.1037/a0029315
• Richards, D., & Richardson, T. (2012). Computer-based psychological treatments for depression: a systematic review and meta-analysis. Clini-cal psychology review, 32(4), 329-342. https://doi.org/10.1016/j.cpr.2012.02.004
• Richards, D., & Timulak, L. (2013). Satisfaction with therapist-delivered vs. self-administered online cognitive behavioural treatments for depres-sion symptoms in college students. British Journal of Guidance y Counsel-ling, 41(2), 193–207. https://doi.org/10.1080/03069885.2012.726347
• Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: calculating and interpreting statistical indices. Psychological Meth-ods 21, 137–150. https://doi.org/10.1037/met0000045
• Shore, J. H., Hilty, D. M., & Yellowlees, P. (2007). Emergency management guidelines for telepsychiatry. General Hospital Psychiatry, 29(3), 199–206. https://doi.org/10.1016/j.genhosppsych.2007.01.013
• Sohn, S. Y., Rees, P., Wildridge, B., Kalk, N. J., & Carter, B. (2019). Preva-lence of problematic smartphone usage and associated mental health outcomes amongst children and young people: a systematic review, me-ta-analysis and GRADE of the evidence. BMC psychiatry, 19(1), 1-10.
• Soto-Pérez, F., Franco, M., Monardes, C. y Jiménez, F. (2010). Internet y psicología clínica: revisión de las ciber-terapias. Revista de Psicopatología y Psicología Clínica, 15(1). https://doi.org/10.5944/rppc.vol.15.num.1.2010.4082
• Spijkerman, M. P. J., Pots, W. T. M., & Bohlmeijer, E. T. (2016). Effective-ness of online mindfulness-based interventions in improving mental health: A review and meta-analysis of randomised controlled trials. Clin-ical Psychology Review, 45, 102–114. https://doi.org/10.1016/j.cpr.2016.03.009
• Stoll, J., Müller, J. A., & Trachsel, M. (2020). Ethical Issues in Online Psy-chotherapy: A Narrative Review. Frontiers in Psychiatry,10. https://doi.org/10.3389/fpsyt.2019.00993
• Svetina, D., Rutkowski, L., & Rutkowski, D. (2019): Multiple-Group Invari-ance with Categorical Outcomes Using Updated Guidelines: An Illus-tration Using Mplus and the lavaan/semTools Packages. Structural Equation Modeling: A Multidisciplinary Journal, 0, 1-20. https://doi.org/10.1080/10705511.2019.1602776
• Tiainem, T., & Berki, E. (2019). The re-Production process of gender bias: A case of ICT professors through recruitment in a gender-neutral country. Studies in Higher Education, 44(1), 170-184. https://doi.org/10.1080/03075079.2017.1351428
• Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16(2), 209–220. https://doi.org/10.1037/a0023353
• Vaquerizo, E. J. (2019). Eficacia de las intervenciones online basadas en re-des sociales para promover actividades físicas. Lecturas: Educación Física y Deportes, 24(251), 124-136.)
• Viladrich, V., Angulo-Brunet, A., & Eduardo, D. (2017). A journey around alpha and omega to estimate internal consistency reliability. Anales de Psicología, 33(3), 755-782. https://doi.org/10.6018/analesps.33.3.268401
• Villadangos, S. M., & Labrador, F. J. (2009). Menores y nuevas tecnologías (NT): uso o abuso. Anuario de Psicología Clínica y de la Salud, 5(1), 75-83.
• Wallin, E. E. K., Mattsson, S., & Olsson, E. M. G. (2016). The preference for internet-based psychological interventions by individuals without past or current use of mental health treatment delivered online: a sur-vey study with mixed-methods analysis. JMIR mental health,3(2), e25. https://doi.org/10.2196/mental.5324
• Wechsler, T. F., Kümpers, F., & Mühlberger, A. (2019). Inferiority or Even Superiority of Virtual Reality Exposure Therapy in Phobias? —A Sys-tematic Review and Quantitative Meta-Analysis on Randomized Con-trolled Trials Specifically Comparing the Efficacy of Virtual Reality Ex-posure to Gold Standard in vivo Exposure in Agoraphobia, Specific Phobia, and Social Phobia. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.01758
• Witt, K., Spittal, M. J., Carter, G., Pirkis, J., Hetrick, S., Currier, D., ... Milner, A. (2017). Effectiveness of online and mobile telephone appli-cations (“apps”) for the self-management of suicidal ideation and self-harm: a systematic review and meta-analysis. BMC Psychiatry, 17(1). https://doi.org/10.1186/s12888-017-1458-0
• Wittkopf, P. G., Lloyd, D. M., & Johnson, M. I. (2018). Managing limb pain using virtual reality: a systematic review of clinical and experimental studies. Disability and Rehabilitation, 41(26), 3103–3117. https://doi.org/10.1080/09638288.2018.1485183
• Yusoff, M. S. B. (2019). ABC of content validation and content validity in-dex calculation. Education in Medicine Journal, 11(2), 49–54. https://doi.org/10.21315/eimj2019.11.2.6
• Zaccaria, D., Casanova, G., & Guaita, A. (2019). Impact of ICT and social networks sites utilization on older people’s well-being and loneliness: a scoping review. Innovation in Aging, 3(Supplement_1), S530–S530. https://doi.org/10.1093/geroni/igz038.1949